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Environmental impact of decentralized power generation in Santa Clara City, Cuba: An integrated assessment based on technological and human health risk indicators

Author

Listed:
  • Herrera, I.
  • De Ruyck, J.
  • Ocaña, V.S.
  • Rubio, M.
  • Martínez, R.M.
  • Núñez, V.

Abstract

At present the worldwide energy market is dominated by fossil fuels, despite that it has been demonstrated to be a major source of environmental problems. In Cuba, about 96% of the power generation comes from fossil fuels, and 26% of this is produced by decentralized power stations (DPSs). DPS technology grew by a factor of six from 2005 to 2010, aiming to increase the efficiency in power generation and distribution, and to reduce the vulnerability on climate events. However, environmental impacts related to this technology, especially those impacts on human health, require a detailed analysis, considering that many DPSs have been located nearby densely populated areas.

Suggested Citation

  • Herrera, I. & De Ruyck, J. & Ocaña, V.S. & Rubio, M. & Martínez, R.M. & Núñez, V., 2013. "Environmental impact of decentralized power generation in Santa Clara City, Cuba: An integrated assessment based on technological and human health risk indicators," Applied Energy, Elsevier, vol. 109(C), pages 24-35.
  • Handle: RePEc:eee:appene:v:109:y:2013:i:c:p:24-35
    DOI: 10.1016/j.apenergy.2013.03.085
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    References listed on IDEAS

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    1. Mahapatra, Diptiranjan & Shukla, Priyadarshi & Dhar, Subash, 2012. "External cost of coal based electricity generation: A tale of Ahmedabad city," Energy Policy, Elsevier, vol. 49(C), pages 253-265.
    2. Zvingilaite, Erika, 2011. "Human health-related externalities in energy system modelling the case of the Danish heat and power sector," Applied Energy, Elsevier, vol. 88(2), pages 535-544, February.
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    Cited by:

    1. Vazquez, Luis & Luukkanen, Jyrki & Kaisti, Hanna & Käkönen, Mira & Majanne, Yrjö, 2015. "Decomposition analysis of Cuban energy production and use: Analysis of energy transformation for sustainability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 638-645.
    2. Xie, Y.L. & Huang, G.H. & Li, W. & Ji, L., 2014. "Carbon and air pollutants constrained energy planning for clean power generation with a robust optimization model—A case study of Jining City, China," Applied Energy, Elsevier, vol. 136(C), pages 150-167.
    3. Guan, Panbo & Huang, Guohe & Wu, Chuanbao & Wang, Linrui & Li, Chaoci & Wang, Yuanyi, 2019. "Analysis of emission taxes levying on regional electric power structure adjustment with an inexact optimization model - A case study of Zibo, China," Energy Economics, Elsevier, vol. 84(C).

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